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Identifying potential association on gene-disease network via dual hypergraph regularized least squares
BACKGROUND: Identifying potential associations between genes and diseases via biomedical experiments must be the time-consuming and expensive research works. The computational technologies based on machine learning models have been widely utilized to explore genetic information related to complex di...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8351363/ https://www.ncbi.nlm.nih.gov/pubmed/34372777 http://dx.doi.org/10.1186/s12864-021-07864-z |